Analytics Engineer

Spaulding Ridge • Minneapolis, MN

1d

About The Position

Spaulding Ridge is an advisory and IT implementation firm. We help global organizations get financial clarity into the complex, daily sales, and operational decisions that impact profitable revenue generations, efficient operational performance, and reliable financial management.
At Spaulding Ridge, we believe all business is personal. Core to our values is our relationships with our clients, our business partners, our team, and the global community. Our employees dedicate their time to helping our clients transform their business, from strategy through implementation and business transformation.
Analytics Engineer
We are seeking an experienced Analytics Engineer to join our Data Solutions team in North America. This role will combine technical expertise with strategic vision to drive the adoption and optimization of Sigma across our client base and internal teams.

Requirements

• 5+ years of experience in data analytics, business intelligence, or related field
• 2+ years of experience in Sigma Computing with advanced proficiency in other tools such as PowerBI, Looker, Omni etc
• Strong SQL skills and experience with cloud data platforms (e.g., Snowflake, Azure, AWS)
• Experience with modern data stack tools such as dbt, Fivetran, Matillion, or similar
• Familiarity with Python and other programming languages used in data analysis
• Understanding of data architecture, data warehousing, and ETL/ELT processes
• Excellent communication and presentation skills, with the ability to explain complex concepts to non-technical audiences
• Experience in consulting or client-facing roles
• Track record of successful project delivery using Agile methodologies
• Passionate about data and its potential to drive business value
• Strong leadership and mentoring abilities
• Proactive problem-solver with a results-oriented mindset
• Adaptable and eager to learn new technologies and methodologies
• Excellent interpersonal skills with a people-first mentality

Responsibilities

• Lead the development and implementation of visualizations that communicate complex data analyses to non-technical audiences showcasing best practices and innovative approaches using tools such as
• Establish and manage the Business Intelligence Center of Excellence, creating standards, guidelines, and training materials
• Collaborate with cross-functional teams to design and implement data solutions that align with client business objectives
• Manage the analytics engineering and visualization lifecycle, including research, proof of concepts, architecture, design, development, testing, and maintenance
• Generate visualizations that communicate complex data analyses to non-technical audiences
• Partner with client stakeholders to foster the adoption of best data management practices
• Mentor and develop junior team members
• Support sales cycles by leading scoping discussions and building proof of concept solutions
• Stay current with Business Intelligence tools and visualizations updates and industry trends, sharing knowledge across the organization

Benefits

• generous time off
• paid holidays
• paid parental leave
• a 401(k) with company match
• highly subsidized health, dental, and vision plans
• company-paid life and disability insurance
• a monthly allowance for well-being and technology expenses
• reimbursement for approved learning and development initiatives within defined limits

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 251-500 employees